ANS. COLUMN I COLUMN II 1 outcome A In the long run, the empirical approaches the actual probability 2 Conditional probability B A SUBSET OF THE SAMPLE SPACE 3 Sample space C the result of a single trial in a probability experiment 4 No gain or loss D Addition rule, add the individual probabilities of each event and subtract the probability that they both occur. 5 And probability E Expected value is to break even 6 The law of large number F the probability of an event occurring, given that another event has already occurred 7 Independent events G all possible outcomes of a probability experiment 8 event H when the occurrence of one of two events does not affect the probability of the occurrence of the other event. 9 Fundamental counting principle I Multiplication rule, two events happening in sequence 10 Or probability J The numbers of way two or more events can occur
ANS. COLUMN I COLUMN II 1 outcome A In the long run, the empirical approaches the actual probability 2 Conditional probability B A SUBSET OF THE SAMPLE SPACE 3 Sample space C the result of a single trial in a probability experiment 4 No gain or loss D Addition rule, add the individual probabilities of each event and subtract the probability that they both occur. 5 And probability E Expected value is to break even 6 The law of large number F the probability of an event occurring, given that another event has already occurred 7 Independent events G all possible outcomes of a probability experiment 8 event H when the occurrence of one of two events does not affect the probability of the occurrence of the other event. 9 Fundamental counting principle I Multiplication rule, two events happening in sequence 10 Or probability J The numbers of way two or more events can occur
ANS. COLUMN I COLUMN II 1 outcome A In the long run, the empirical approaches the actual probability 2 Conditional probability B A SUBSET OF THE SAMPLE SPACE 3 Sample space C the result of a single trial in a probability experiment 4 No gain or loss D Addition rule, add the individual probabilities of each event and subtract the probability that they both occur. 5 And probability E Expected value is to break even 6 The law of large number F the probability of an event occurring, given that another event has already occurred 7 Independent events G all possible outcomes of a probability experiment 8 event H when the occurrence of one of two events does not affect the probability of the occurrence of the other event. 9 Fundamental counting principle I Multiplication rule, two events happening in sequence 10 Or probability J The numbers of way two or more events can occur
In the long run, the empirical approaches the actual probability
2
Conditional probability
B
A SUBSET OF THE SAMPLE SPACE
3
Sample space
C
the result of a single trial in a probability experiment
4
No gain or loss
D
Addition rule, add the individual probabilities of each event and subtract the probability that they both occur.
5
And probability
E
Expected value is to break even
6
The law of large number
F
the probability of an event occurring, given that another event has already occurred
7
Independent events
G
all possible outcomes of a probability experiment
8
event
H
when the occurrence of one of two events does not affect the probability of the occurrence of the other event.
9
Fundamental counting principle
I
Multiplication rule, two events happening in sequence
10
Or probability
J
The numbers of way two or more events can occur
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Definition Definition For any random event or experiment, the set that is formed with all the possible outcomes is called a sample space. When any random event takes place that has multiple outcomes, the possible outcomes are grouped together in a set. The sample space can be anything, from a set of vectors to real numbers.
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